team-focus

TEAM FOCUS concepts by Paul N. Friga in McKinsey Engagement.

https://github.com/joelparkerhenderson/team-focus

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.3%) to scientific vocabulary
Last synced: 8 months ago · JSON representation ·

Repository

TEAM FOCUS concepts by Paul N. Friga in McKinsey Engagement.

Basic Info
  • Host: GitHub
  • Owner: joelparkerhenderson
  • Default Branch: master
  • Size: 10.7 KB
Statistics
  • Stars: 20
  • Watchers: 2
  • Forks: 6
  • Open Issues: 0
  • Releases: 0
Created over 9 years ago · Last pushed about 1 year ago
Metadata Files
Readme Code of conduct Citation

README.md

TEAM FOCUS

TEAM FOCUS is a powerful toolkit for more efficient and effective team problem solving. TEAM FOCUS concepts are by Paul N. Friga and published in McKinsey Engagement.

Contents: * TEAM is interpersonal * Talk * Evaluate * Assist * Motivate * FOCUS is analytical * Frame * Organize * Collect * Understand * Synthesize * Source

The key to making this succeed is understanding of the concepts, and also disciplined execution of these concepts.

TEAM is interpersonal

Talk

One of the most important elements of high-quality team problem solving is establishing very clear channels of communication. This chapter discusses special communication tools and provides guidance concerning best-process communication, inclusion of important constituents outside of the core team, and tips on managing interpersonal dialogue. The chapter also features a special section about listening.

Evaluate

Teamwork is a dynamic process, and the most successful teams are those that are able to assess their current level of performance and adapt accordingly. The starting point for good evaluation is an open dialogue about expectations, group norms, specific work processes, and tools for monitoring progress. Implicit in the team evaluation process is an individually based personal plan that allows each team member to grow and develop on a continual basis.

Assist

We all have strengths and weaknesses, and evaluation is the only way in which we can adequately identify where to focus our energy for on the Evaluate phase, which identifies particular strengths of team members that can be leveraged for the good of the team. Strategic leverage of unique capabilities is an underlying component of all "special forces" organizations and is just common sense. At the same time, team members must hold one another accountable for their assigned responsibilities. Direct, honest, and timely feedback will ensure that the Assist process is operating correctly.

Motivate

The last element of the model's interpersonal component involves very specific strategies for motivation. One of the most important considerations is the realization that team members are motivated by different factors. Accordingly, engaging in informal, candid conversations at the beginning of the project about what those unique motivators are and paying close attention to individuals' drivers will go a long way. Similarly, the best teams are those that provide positive recognition for individual contributions and take adequate time to celebrate as a group (many of us seem to do less and less of this the older we get). The second component of the model relates to the core analytical elements of successful project management.

FOCUS is analytical

Frame

The first element in the FOCUS component is widely regarded as the most important in the entire model. Essentially, framing the problem (before you begin extensive data collection!) involves identifying the key question that you are studying, drawing issue trees for potential investigation, and developing hypotheses for testing during the project. Good framing translates into more effective problem solving, as you will be ensuring that the work you are doing will translate into high-impact results—the ultimate measure of effectiveness.

Organize

This element is a boring but necessary step in preparing the team for efficient problem solving. All teams organize in some manner or another, but my research suggests that more efficient teams organize around content hypotheses with the end in mind. Unfortunately, in many cases, there seems to be a default approach that compels teams to organize quickly around the buckets that seem to surface most easily, rather than on the basis of potential answers to the key question under study.

Collect

The next element of the model provides guidance that leads to the collection of relevant data, avoiding the overcollection of data that are not useful. The most efficient teams are those that can look at the two piles of data collected and smile as they realize that the relevant data (pile 1) far outweigh the irrelevant information (pile 2) because the team continuously analyzed the difference.

Understand

As the team gathers data, these data must be evaluated for their potential contribution to proving or disproving the hypotheses. At McKinsey, the term used on an almost daily basis is "so what?"—what is the meaning of the insight from these data for the project, and ultimately for the client?

Synthesize

The final element in the model is to synthesize the information into a compelling story. Here is where the well-known "pyramid principle" related to organizing a written report or slide deck comes into play. In this chapter, I cover the guidelines for putting together and delivering a great final product.

Source

Source: Paul N. Friga, The McKinsey Engagement : A Powerful Toolkit For More Efficient and Effective Team Problem Solving. McGraw-Hill. 2009

Summary link

Owner

  • Name: Joel Parker Henderson
  • Login: joelparkerhenderson
  • Kind: user
  • Location: California

Software developer. Technology consultant. Creator of GitAlias.com, NumCommand.com, SixArm.com, and many open source projects.

Citation (CITATION.cff)

cff-version: 1.2.0
title: TEAM FOCUS
message: >-
  If you use this work and you want to cite it,
  then you can use the metadata from this file.
type: software
authors:
  - given-names: Joel Parker
    family-names: Henderson
    email: joel@joelparkerhenderson.com
    affiliation: joelparkerhenderson.com
    orcid: 'https://orcid.org/0009-0000-4681-282X'
identifiers:
  - type: url
    value: 'https://github.com/joelparkerhenderson/team-focus/'
    description: TEAM FOCUS
repository-code: 'https://github.com/joelparkerhenderson/team-focus/'
abstract: >-
  TEAM FOCUS
license: See license file

GitHub Events

Total
  • Push event: 1
  • Fork event: 1
Last Year
  • Push event: 1
  • Fork event: 1

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 11
  • Total Committers: 1
  • Avg Commits per committer: 11.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Joel Parker Henderson j****l@j****m 11
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: about 4 hours
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • pg (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels